Results 171 to 180 of about 802,871 (312)

Increase in Pancreatoduodenectomy Volume at Mid‐Volume Facilities in the United States: A National Cancer Database Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background The annual number of pancreatoduodenectomies (PDs) in the United States has increased over the past decade, but the facility types driving this growth and whether outcomes have improved remain unclear. We aimed to identify characteristics of facilities with increasing PD volumes and assess national trends in centralization ...
Koichi Tomita, Naruhiko Ikoma
wiley   +1 more source

Aligning Minds in Spasticity Care-A Two-Phase Delphi-Dialogue Study of Patients and Professionals in Spain. [PDF]

open access: yesToxins (Basel)
Bascuñana-Ambrós H   +6 more
europepmc   +1 more source

Nationwide Real‐World Modeling of Surgical Outcomes in Elderly Patients: Incorporating Geriatric‐Specific Risk Factors Into Prediction of Mortality and Morbidity

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
A reliable and effective risk prediction model for mortality and morbidity in elderly patients undergoing gastroenterological surgeries was developed and validated. Geriatric‐specific risk factors, including the newly added variables in the NCD registry, along with age, were identified as significant contributors to the model. ABSTRACT Aim As the aging
Naoya Sato   +11 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

RanBALL: An Ensemble Machine Learning Framework for Accurate Subtype Identification of Pediatric B‐Cell Acute Lymphoblastic Leukemia

open access: yesAdvanced Intelligent Systems, EarlyView.
Here, we present RanBALL, an ensemble random projection‐based model for accurate and cost‐effective identification of B‐cell acute lymphoblastic leukemia subtypes is presented. By preserving patient‐to‐patient distance after dimension reduction by random projection and ensemble learning, RanBALL can facilitate the discovery of B‐ALL subtype‐specific ...
Lusheng Li   +6 more
wiley   +1 more source

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